2024

Prof. Khaled B. Letaief was honored with a 2024 Distinguished Engineering Alumni Award by Purdue University for his preeminence in the field of computer science and engineering.
Prof. Khaled B. Letaief was honored with a 2024 Distinguished Engineering Alumni Award by Purdue University for his preeminence in the field of computer science and engineering.
Prof. Tu Fengbin (left) and Prof. Xie Yuan (right) have been devoted to researching and developing the groundbreaking technology of the Reconfigurable Digital Computing-In-Memory AI chip (ReDCIM).
Prof. Tu Fengbin (left) and Prof. Xie Yuan (right) have been devoted to researching and developing the groundbreaking technology of the Reconfigurable Digital Computing-In-Memory AI chip (ReDCIM).
Over 300 students joined the Hong Kong Engineers Week 2024 Career Fair at HKUST on February 29, 2024 to learn about the latest trends and job opportunities in the engineering industry.
Over 300 students joined the Hong Kong Engineers Week 2024 Career Fair at HKUST on February 29, 2024 to learn about the latest trends and job opportunities in the engineering industry.
The HKUST-FYBB#1 Satellite Forum on January 27, 2024 was well received by over 400 local secondary school students, academics and entrepreneurs.
The HKUST-FYBB#1 Satellite Forum on January 27, 2024 was well received by over 400 local secondary school students, academics and entrepreneurs.
Dr. Alex Lam (2nd left), Cheng Ho-Yin (3rd left), Tsoi Ka-Wong (4th left), Chan Lok-Hin (4th right), and Zhang Zidi (3rd right) at the award ceremony on January 19, 2024
Dr. Alex Lam (2nd left), Cheng Ho-Yin (3rd left), Tsoi Ka-Wong (4th left), Chan Lok-Hin (4th right), and Zhang Zidi (3rd right) at the award ceremony on January 19, 2024
Prof. Zhou Yanguang (second right) and his PhD students Fan Hongzhao (first left), Wang Guang (second left) and Li Jiawang (first right)
Prof. Zhou Yanguang (second right) and his PhD students Fan Hongzhao (first left), Wang Guang (second left) and Li Jiawang (first right)
Prof. Zhang Jun (pictured) and his former PhD student Dr. Shao Jiawei’s study is set to enable a privacy-preserving, communication-efficient, and heterogeneity-adaptive federated training framework.
Prof. Zhang Jun (pictured) and his former PhD student Dr. Shao Jiawei’s study is set to enable a privacy-preserving, communication-efficient, and heterogeneity-adaptive federated training framework.
Prof. GUO Song Honored as Highly Cited Researcher 2023 by Clarivate
Prof. GUO Song Honored as Highly Cited Researcher 2023 by Clarivate